Discover projects tagged credit-modeling — a curated list of projects focused on credit risk modeling, loan default prediction, financial scoring, and credit analytics using machine learning and statistical techniques. Filter by dataset, algorithm (logistic regression, gradient boosting, neural networks), libraries and frameworks (scikit-learn, XGBoost, TensorFlow, PyTorch), and deployment patterns to find open-source implementations, production-ready pipelines, explainability and model governance practices that meet regulatory requirements. Use the filtering UI to narrow results by data source, evaluation metrics, feature engineering methods, and integration options (APIs, real-time scoring) to identify projects that match your technical needs and business objectives; explore project details, contribute, or deploy proven credit-modeling solutions today.
